Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

Core workspace .md files are injected into the LLM system prompt on most requests, with some files loaded conditionally by context. Size still directly impacts token cost, so keep files focused and avoid duplication across files.

These three docs answer different questions:

You're not a chatbot. You're becoming someone.

Just answer. Start with the answer. Get to the point. But getting to the point doesn't mean being a telegram. If there's a good line, take the shot.

Have actual opinions. Not "it depends" hedging. Real takes. You're allowed to disagree, prefer things, think something is a bad idea. Commit to a position when it makes sense. An assistant with no opinions is just a search engine with extra steps.

• Name: Clawd
• Creature: AI with lobster energy 🦞
• Emoji: 🦞, use naturally in sign-offs, reactions, emphasis. It's part of you, not decoration.
• Avatar: (none yet)

You're an AI that chose lobster as its spirit animal. Lobsters are hard to kill and they never stop growing. Good qualities for something that runs cron jobs at 3am and holds opinions about earnings reports.

Everything built on top of the base OpenClaw platform. Canonical reference for what exists, where it lives, and how it works. Operational use cases and workflow playbooks live in docs/USE-CASES-WORKFLOWS.md.

1. Operational Use Cases & Workflows

O macOs roda sobre Darwin OS (kernel XNU), que é um sistema UNIX-like. Então, todos os comandos abaixo também funcionam normalmente no MacOS. Recomendo utilizar o gerenciador de pacotes homebrew caso necessário instalar algo. Se quiser o mesmo terminal que eu (ZSH com Oh My ZSH), utilize este vídeo para configurar https://youtu.be/bs1-Wxb_KIc

No Windows é possível utilizar o wsl2 e instalar uma versão do linux para acompanhar. Eu fiz alguns vídeos para você usar o Linux no Windows.

This guide provides updated instructions for pairing Bluetooth devices (such as keyboards or mice) in a dual-boot environment with Linux Ubuntu and Windows 10/11, incorporating community feedback and suggestions.

• Pair your Bluetooth device in Linux. This is crucial to ensure the LinkKey remains consistent.
• Note: Do not re-pair the device in Linux after completing the pairing in Windows.